US20150142249A1 - Coordinated transport robot system - Google Patents

Coordinated transport robot system Download PDF

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US20150142249A1
US20150142249A1 US14/522,973 US201414522973A US2015142249A1 US 20150142249 A1 US20150142249 A1 US 20150142249A1 US 201414522973 A US201414522973 A US 201414522973A US 2015142249 A1 US2015142249 A1 US 2015142249A1
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movement
robots
unit
model
robot
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US9315367B2 (en
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Junichiro Ooga
Hideki Ogawa
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Toshiba Corp
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Toshiba Corp
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60PVEHICLES ADAPTED FOR LOAD TRANSPORTATION OR TO TRANSPORT, TO CARRY, OR TO COMPRISE SPECIAL LOADS OR OBJECTS
    • B60P3/00Vehicles adapted to transport, to carry or to comprise special loads or objects
    • B60P3/40Vehicles adapted to transport, to carry or to comprise special loads or objects for carrying long loads, e.g. with separate wheeled load supporting elements
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66FHOISTING, LIFTING, HAULING OR PUSHING, NOT OTHERWISE PROVIDED FOR, e.g. DEVICES WHICH APPLY A LIFTING OR PUSHING FORCE DIRECTLY TO THE SURFACE OF A LOAD
    • B66F9/00Devices for lifting or lowering bulky or heavy goods for loading or unloading purposes
    • B66F9/06Devices for lifting or lowering bulky or heavy goods for loading or unloading purposes movable, with their loads, on wheels or the like, e.g. fork-lift trucks
    • B66F9/075Constructional features or details
    • B66F9/07572Propulsion arrangements
    • B66F9/07577Propulsion arrangements not supported by wheels, e.g. tracks or air cushions
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66FHOISTING, LIFTING, HAULING OR PUSHING, NOT OTHERWISE PROVIDED FOR, e.g. DEVICES WHICH APPLY A LIFTING OR PUSHING FORCE DIRECTLY TO THE SURFACE OF A LOAD
    • B66F9/00Devices for lifting or lowering bulky or heavy goods for loading or unloading purposes
    • B66F9/06Devices for lifting or lowering bulky or heavy goods for loading or unloading purposes movable, with their loads, on wheels or the like, e.g. fork-lift trucks
    • B66F9/063Automatically guided
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10STECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S901/00Robots
    • Y10S901/01Mobile robot

Definitions

  • Embodiments described herein relate generally to coordinated transport robot systems.
  • the articulated robot arm used in the first example has multiple degrees of freedom
  • the articulated robot arm can absorb not only position errors but also posture errors.
  • the load on the system such as the weight and power consumption, becomes large.
  • the responsiveness to control is normally not high.
  • a mechanism formed only with passive elements is simple and is light in weight, but does not have a very high tolerance to posture errors.
  • the second example discloses a coordinated transport method involving more than one mobile robot.
  • the mobile robots are limited to those of an independent-two-wheel type, and furthermore, an internal force generated by a transport object is measured with a force sensor. Since a force sensor breaks down when subjected to a large moment such as impact, the transport method according to the second example is not suitable for transporting heavy objects.
  • FIG. 1 is a perspective view of a coordinated transport robot system according to an embodiment
  • FIGS. 2A through 2D are diagrams showing a position error absorption mechanism
  • FIG. 3 is a perspective diagram showing gonio-stages
  • FIGS. 4A through 4C are cross-sectional diagrams for explaining the characteristics of the gonio-stages
  • FIG. 5 is a block diagram for explaining a control operation of the coordinated transport robot system.
  • FIGS. 6A and 6B are waveform charts showing the values of movement commands to the motor that drives the respective wheels of mobile carts, and the values of actual velocities.
  • a coordinated transport robot system includes: first and second robots each including a mobile unit and a movement control unit configured to control the mobile unit; first and second position error absorption mechanisms provided on the first and second robots, respectively, each of the first and second position error absorption mechanisms including a top panel onto which a transport object to be placed and fixed, a passive element unit configured to rotationally move the top panel in a horizontal direction and detect an amount of displacement of rotational movement, and an active element unit configured to translationally move the top panel in the horizontal direction and detect an amount of displacement of translational movement; an impedance model configured to estimate an external force from the amount of displacement detected by the passive element unit; an external force estimating unit configured to estimate respective external forces acting on the first and second robots based on an external force estimated with a dynamics model based on the amount of displacement detected by the active element unit, and an external force estimated by the impedance model; a compliance model configured to calculate respective position correction amounts of the first and second robots to make an external force zero, the external force being estimated by the external force
  • FIG. 1 is a schematic perspective view of the coordinated transport robot system of this embodiment.
  • the coordinated transport robot system of this embodiment performs a coordinated transport of a transport object 30 such as a long and heavy object, and includes two robots 5 a and 5 b and position error absorption mechanisms 10 a and 10 b .
  • the two robots 5 a and 5 b each include mobile units (such as independent-two-wheel carts, omnidirectional mobile carts, or legs) 6 a and 6 b for moving their own robots, and movement control units that drive and control the mobile units 6 a and 6 b , respectively.
  • the position error absorption mechanisms 10 a and 10 b are fixed onto the robots 5 a and 5 b , respectively, and absorb position errors between the robots 5 a and 5 b and the transport object 30 .
  • the transport object 30 is placed or fixed onto the top panels of the position error absorption mechanisms 10 a and 10 b.
  • Position errors between each of the robots 5 a and 5 b and the transport object 30 have a total of six degrees of freedom: three degrees of freedom in the translational direction and three degrees of freedom in the rotational direction.
  • the position error absorption mechanisms 10 a and 10 b are formed with active elements using actuators such as motors for all the degrees of freedom, the batteries in the mechanisms quickly run out, and the load on the coordinated transport robot system becomes larger. Therefore, in this embodiment, the load on the coordinated transport robot system is reduced by a combination with a passive element such as a spring, a damper, or a slider as much as possible.
  • FIGS. 2A through 2D A specific example of the position error absorption mechanism 10 a or 10 b that is used in the coordinated transport robot system of this embodiment and is fixed onto the robots 5 a or 5 b is shown in FIGS. 2A through 2D .
  • FIG. 2A is a top view of the position error absorption mechanism 10 .
  • FIG. 2B is a cross-sectional view taken along the section line A-A defined in FIG. 2A .
  • FIG. 2C is a cross-sectional view taken along the section line B-B defined in FIG. 2A .
  • FIG. 2D is a cross-sectional view taken along the section line C-C defined in FIG. 2B .
  • the position error absorption mechanism 10 of this specific example is designed so that a passive element performs a horizontal and spherical rotating operation, and an active element performs a translational moving operation through driving of a motor.
  • a top panel 101 onto which the transport object 30 is to be placed or fixed is placed at the top.
  • This top panel 101 is supported by a member 130 that is located below the top panel 101 and is capable of moving in the depth direction (the X-axis direction).
  • a concavity is formed at the center portion of the bottom surface of the top panel 101 or the surface opposite from the surface onto which the transport object 30 is to be placed or fixed, and a bearing 102 is placed in the concavity.
  • the member 130 has a boss 130 a at its center portion.
  • the inner ring of the bearing 102 is engaged with the boss 130 a
  • the outer ring of the bearing 102 is engaged with the top panel 101 . That is, the top panel 101 is rotatable about the axis of the bearing 102 with respect to the member 130 .
  • the boss 130 a may be fixed to the member 130 with a bolt or the like.
  • a gear 120 is provided on the bottom surface side of the top panel 101 so as to rotate in synchronization with the top panel 101 .
  • This gear 120 is fixed to the top panel 101 with a bolt, and has a hole at the center portion, so that the boss 130 a of the member 130 penetrates through the hole.
  • six concave portions are formed in the bottom surface of the top panel 101 so as to reduce the weight of the top panel 101 .
  • a member 140 that secures and supports motors 104 and 106 is provided below the member 130 .
  • a pinion 105 a is attached to the end of the rotational shaft of the motor 104 , and a rack 105 b engaged with the pinion 105 a is fixed to the member 130 with a bolt.
  • the pinion 105 a and the rack 105 b constitute a rack/pinion mechanism 105 .
  • the member 130 becomes movable in the X-axis direction with respect to the member 140 by virtue of the motor 104 and the rack/pinion mechanism 105 .
  • the movement in the X-axis direction is movement along a linear guide 103 that is provided between the member 130 and the member 140 .
  • a displacement transmitting gear 112 that meshes with the gear 120 is provided to detect the rotational position (the rotation quantity) of the top panel 101 , and the central shaft of the gear 134 is attached to the member 130 via a bearing.
  • a potentiometer 113 is provided at the end of the central shaft of the displacement transmitting gear 112 .
  • a pinion 108 a is attached to the end of the rotational shaft of the motor 106 fixed to the member 130 , and a rack 108 b engaged with the pinion 108 a is fixed to a member 150 with a bolt.
  • the member 150 is provided below the member 140 .
  • the pinion 108 a and the rack 108 b constitute a rack/pinion mechanism 108 .
  • the member 150 becomes movable in the horizontal direction (the Y-axis direction) in FIG. 2B with respect to the member 140 .
  • the movement in the Y-axis direction is movement along a linear guide 107 that is provided between the member 140 and the member 150 .
  • Two gonio-stages 109 and two gonio-stages 110 are provided below the member 150 .
  • the two gonio-stages 109 are located in positions that face each other, with the center of the top panel 101 being in the middle.
  • the two gonio-stages 110 are arranged in a direction perpendicular to the direction in which the two gonio-stages 109 are arranged, and are located in positions that face each other, with the center of the top panel 101 being in the middle.
  • the two gonio-stages 109 are engaged with a member 160 that is fixed to the member 150 with a bolt, for example, and has a U-shaped cross-section.
  • the gonio-stages 110 are engaged with a member 170 that is fixed to the gonio-stages 109 .
  • the gonio-stages 109 and 110 are passive elements that can rotationally move objects in arcs with the same curvature.
  • the gonio-stages 109 cause the member 160 to rotationally move in an arc about a first rotational axis (an axis parallel to the X-axis) provided above the gonio-stages 109
  • the gonio-stages 110 cause the member 170 to rotationally move in an arc about a second rotational axis (an axis parallel to the Y-axis) provided above the gonio-stages 110 .
  • the first rotational axis and the second rotational axis intersect at a point 111 .
  • Displacement measuring sensors (such as potentiometers) 114 and 115 are further mounted on the gonio-stages 109 and 110 so as to measure amounts of displacement from the initial positions.
  • the slave robot 5 b includes a control unit 60 shown in FIG. 5
  • the master robot 5 a includes a control unit 80 .
  • the master robot 5 a may include the control unit 60 .
  • the master robot 5 a includes the control unit 60 .
  • the control unit 80 includes a movement command generating unit 82 , a movement control unit 83 , and an odometry calculating unit 84 .
  • the control unit 60 includes a passive element displacement sensing unit 61 , an impedance model 62 , an external force estimating unit 63 , a compliance model 65 , a mutual sensing unit 66 , a mutual distance evaluating unit 67 , a movement command calculating unit 68 , an adding unit 69 , a movement control unit 70 , an odometry calculating unit 71 , an estimating/interpolating unit 72 , and an other's movement control responsiveness model 73 .
  • the functions of the respective components of the control unit 60 and the control unit 80 will be described below along with explanation of the control operation.
  • the transport object 30 is placed and fixed onto the top panel of the position error absorption mechanism 10 a fixed onto the master robot 5 a , and the top panel of the position error absorption mechanism 10 b fixed onto the slave robot 5 b.
  • a command is sent from the operator of the coordinated transport robot system to the movement command generating unit 82 of the master robot 5 a .
  • a movement command for moving the master robot 5 a is sent from the movement command generating unit 82 to the movement control unit 83 , and the movement control unit 83 drives and controls the mobile unit 6 a (see FIG. 1 ) of the master robot 5 a , so that the master robot 5 a moves.
  • the movement command generating unit 82 may store a preprogrammed command, and generate a movement command based on the stored command. In this case, there is no need to receive a command from the operator.
  • the slave robot 5 b also moves via the transport object 30 , and a coordinated transport is performed.
  • the amount of the displacement is measured by the passive element displacement sensing unit 61 .
  • the external force acting on the robot including the passive element having the displacement is estimated by the external force estimating unit 63 using the virtual impedance model 62 .
  • the impedance model 62 is a model that assumes virtual inertia, viscosity, and elasticity, and estimates the force ⁇ f i acting on the robot including the passive element having displacement based on the amount of the displacement. This impedance model is expressed by the following equation.
  • ⁇ f i M i d 2 x/dt 2 +D i dx/dt+K i dx/dt
  • x represents the amount of displacement
  • dx/dt is the time subtraction of x
  • d 2 x/dt 2 is the time subtraction of dx/dt.
  • M i , D i and K i are impedance model parameters (hereinafter also referred to as the parameters) indicating the virtual inertia, the virtual viscosity, and the virtual elasticity of the impedance model, respectively.
  • the responsiveness to an external force can be estimated beforehand from the time-series variation (time response) of the displacement of the passive element with respect to a known external force.
  • the impedance parameters that conform to the responsiveness to the external force are identified in the frequency domain, and the identified parameters are stored beforehand as a database.
  • an external force is also estimated by the external force estimating unit 63 based on the value of the current applied to the motors 104 and 106 shown in FIG. 2A .
  • the difference between the value of the current in a steady state where any external force is not applied and the value of the current in a state where an external force is applied is multiplied by a torque constant, to estimate a force ⁇ f m .
  • the external force estimating unit 63 estimates the external force ⁇ f acting on the entire robot by taking into account the coordinate transform due to the link structure of the robot.
  • the position correction amount of the entire robot is calculated with the virtual compliance model 65 so that the external force ⁇ f being applied becomes 0 in the compliance model 65 .
  • This compliance model 65 is a concept equivalent to the reciprocal of the impedance model 62 , and is expressed by the following equation.
  • ⁇ x ( ⁇ f i ⁇ M c d 2 ⁇ x/dt 2 ⁇ D c d ⁇ x/dt )/ K c
  • ⁇ x represents the position correction amount
  • d ⁇ x/dt is the time subtraction of ⁇ x
  • d 2 ⁇ x/dt 2 is the time subtraction of d ⁇ x/dt.
  • M c , D c and K c are compliance model parameters (hereinafter also referred to as the parameters) indicating the virtual inertia, the virtual viscosity, and the virtual elasticity of the compliance model 65 , respectively.
  • the above parameters can be estimated beforehand as the responsiveness to an external force, like the impedance model parameters. Further, a signal for identification is input to the active element unit, and the time response inclusive of the dynamic characteristics of the transport object 30 placed on the robot can be measured from the time-series variation in the amount of displacement at that time. In this manner, the compliance model parameters for compensating an estimated error in the dynamic characteristics of the object placed on the robot can be estimated online during a transfer operation.
  • the movement command calculating unit 68 calculates a robot movement command.
  • the robots 5 a and 5 b mutually sense the distance and the direction between the robots 5 a and 5 b by using a sensor such as the mutual sensing unit (such as a laser range finder (LRF)) 66 , and calculates such a movement command as to maintain the distance and the direction.
  • the movement control unit 70 controls the robots 5 a and 5 b .
  • the robot calculates the value of a command to an actuator such as a motor in accordance with dynamics based on the form of the mobile units such as independent-two-wheel carts, omnidirectional moving carts, or legs.
  • each of the robots 5 a and 5 b needs to estimate a self-location from the time-series data of command values stored therein.
  • the odometry calculating unit 71 provided in the robot estimates the self-location (odometry) of the robot by using an integral of the movement command, the positional information from the movement control unit 70 , and the value of a current feedback. In this manner, the degree of deviation (the position deviation) from a target orbit is estimated by the mutual distance evaluating unit 67 , and an amount of correction is added to the movement command.
  • a movement command may be communicated between the robots 5 a and 5 b .
  • the master robot 5 a receives a movement command or a self-location from the slave robot 5 b , and the estimating/interpolating unit 72 takes into account the time lag or missing in the communication.
  • a prediction is performed by a shaping or estimating process using a filter, as appropriate.
  • the mutual distance from the slave robot 5 b is evaluated, and a movement command to the master robot 5 a is generated.
  • FIGS. 6A and 6B are waveform charts showing the values of velocity commands (indicated by dashed lines) to the motor that drives the respective wheels of the mobile carts, and the values of actual velocities (indicated by solid lines).
  • FIG. 6A is a waveform chart showing a case where the motor changes from a positive angular velocity to a negative angular velocity.
  • FIG. 6B is a waveform chart showing a case where the motor changes from a negative angular velocity to a positive angular velocity.
  • the time lags are turned into a model and are taken into account in a correction amount calculation so that a further increase in accuracy can be expected in estimating a position error.
  • the value of the response to the value of the movement command in the robot is stored as a self-movement control responsiveness model 74 in a database.
  • the self-movement control responsiveness model 74 of the robot prepares a movement command value for identification in advance, and performs a test operation, with the transport object 30 being placed on the robot. At this point, the value of the movement command for identification is input, and the response signal to the movement command value is measured. In this manner, the self-movement control responsiveness model 74 that takes into account the dynamic characteristics of the transport object 30 can be identified.
  • time-series data of movement command values acquired through communications with the other robot and the time-series data of the self-location are stored as the other's movement control responsiveness model 73 in a database.
  • a simple example of the responsiveness model used herein may be a first-order lag model expressed by the following equation.
  • x(t) represents the time-series data of movement command values
  • y(t) represents the time-series data of actual velocities
  • T represents the time constant.
  • the time constant T is identified from a measured value of a command and an actual value, and is then stored in the database.
  • a second-order model may be assumed, as in the impedance model or the compliance model.
  • the second-order model G expressed in a transfer function form using a variable s in a Laplace domain is as follows.
  • M, D, and K are parameters of a second-order response model.
  • the calculations for identifying the self-movement control responsiveness model 74 and the other's movement control responsiveness model 73 are not necessarily performed by a computer mounted on the robot.
  • the time-series data of movement command values and response signals are transmitted to an external computer through communications, and the calculations for identification are performed in the external computer.
  • the parameters obtained as a result of the calculations are transmitted to the robot, and are used in the responsiveness models 74 and 73 .

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Abstract

A coordinated transport robot system according to an embodiment includes: first and second robots each including a mobile unit and a movement control unit; first and second position error absorption mechanisms provided on the first and second robots; an impedance model estimating an external force from the amount of displacement detected by the passive element unit; an external force estimating unit estimating respective external forces acting on the first and second robots based on external forces estimated with a dynamics model and estimated by the impedance model; a compliance model calculating respective position correction amounts of the first and second robots to make an external force zero; and a movement command calculating unit calculating movement commands to the first and second robots based on the position correction amounts. Each of the movement control units control the respective mobile units based on the respective movement commands.

Description

    CROSS-REFERENCE TO RELATED APPLICATION
  • This application is based upon and claims the benefit of priority from the prior Japanese Patent Application No. 2013-239552, filed on Nov. 20, 2013, the entire contents of which are incorporated herein by reference.
  • FIELD
  • Embodiments described herein relate generally to coordinated transport robot systems.
  • BACKGROUND
  • In an indoor environment that has a complicated structure and bottleneck portions, such as a reactor building in a nuclear power plant, tasks of transporting long and heavy objects such as pipes, shields, and protection sheets for maintenance works are carried out by workers. In a high-radiation area, however, workers are not allowed to work for a long period of time. Therefore, realization of operations by remote-controlled robots is expected.
  • As a coordinated transport operation to be performed by robots, there is a first example in which an industrial vertical articulated robot arm is mounted on a movable carriage, and the reaction forces mutually acting on the robots are absorbed by performing force control. In the first example, if the transport object is a rigid object, the spaces between the robots are restricted to some degree, and accordingly, the errors in the distances between the robots can be absorbed in the movement range of the arm. Meanwhile, a second example related to coordinated transport is also known.
  • As the articulated robot arm used in the first example has multiple degrees of freedom, the articulated robot arm can absorb not only position errors but also posture errors. However, the load on the system, such as the weight and power consumption, becomes large. Furthermore, the responsiveness to control is normally not high. Meanwhile, a mechanism formed only with passive elements is simple and is light in weight, but does not have a very high tolerance to posture errors.
  • The second example discloses a coordinated transport method involving more than one mobile robot. However, the mobile robots are limited to those of an independent-two-wheel type, and furthermore, an internal force generated by a transport object is measured with a force sensor. Since a force sensor breaks down when subjected to a large moment such as impact, the transport method according to the second example is not suitable for transporting heavy objects.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIG. 1 is a perspective view of a coordinated transport robot system according to an embodiment;
  • FIGS. 2A through 2D are diagrams showing a position error absorption mechanism;
  • FIG. 3 is a perspective diagram showing gonio-stages;
  • FIGS. 4A through 4C are cross-sectional diagrams for explaining the characteristics of the gonio-stages;
  • FIG. 5 is a block diagram for explaining a control operation of the coordinated transport robot system; and
  • FIGS. 6A and 6B are waveform charts showing the values of movement commands to the motor that drives the respective wheels of mobile carts, and the values of actual velocities.
  • DETAILED DESCRIPTION
  • A coordinated transport robot system according to an embodiment includes: first and second robots each including a mobile unit and a movement control unit configured to control the mobile unit; first and second position error absorption mechanisms provided on the first and second robots, respectively, each of the first and second position error absorption mechanisms including a top panel onto which a transport object to be placed and fixed, a passive element unit configured to rotationally move the top panel in a horizontal direction and detect an amount of displacement of rotational movement, and an active element unit configured to translationally move the top panel in the horizontal direction and detect an amount of displacement of translational movement; an impedance model configured to estimate an external force from the amount of displacement detected by the passive element unit; an external force estimating unit configured to estimate respective external forces acting on the first and second robots based on an external force estimated with a dynamics model based on the amount of displacement detected by the active element unit, and an external force estimated by the impedance model; a compliance model configured to calculate respective position correction amounts of the first and second robots to make an external force zero, the external force being estimated by the external force estimating unit; and a movement command calculating unit configured to calculate movement commands to the first and second robots based on the position correction amounts calculated by the compliance model; wherein the movement control units of the first and second robots control the respective mobile units based on the respective movement commands calculated by the movement command calculating unit.
  • The following is a description of embodiments, with reference to the accompanying drawings. In the drawings, like components are denoted by like reference numerals. However, the drawings are merely schematic, and specific sizes should be determined by taking the following description into account. It goes without saying that there are differences in size and ratio among the drawings.
  • A coordinated transport robot system according to an embodiment is shown in FIG. 1. FIG. 1 is a schematic perspective view of the coordinated transport robot system of this embodiment. The coordinated transport robot system of this embodiment performs a coordinated transport of a transport object 30 such as a long and heavy object, and includes two robots 5 a and 5 b and position error absorption mechanisms 10 a and 10 b. The two robots 5 a and 5 b each include mobile units (such as independent-two-wheel carts, omnidirectional mobile carts, or legs) 6 a and 6 b for moving their own robots, and movement control units that drive and control the mobile units 6 a and 6 b, respectively. The position error absorption mechanisms 10 a and 10 b are fixed onto the robots 5 a and 5 b, respectively, and absorb position errors between the robots 5 a and 5 b and the transport object 30. The transport object 30 is placed or fixed onto the top panels of the position error absorption mechanisms 10 a and 10 b.
  • Position errors between each of the robots 5 a and 5 b and the transport object 30 have a total of six degrees of freedom: three degrees of freedom in the translational direction and three degrees of freedom in the rotational direction. In a case where the position error absorption mechanisms 10 a and 10 b are formed with active elements using actuators such as motors for all the degrees of freedom, the batteries in the mechanisms quickly run out, and the load on the coordinated transport robot system becomes larger. Therefore, in this embodiment, the load on the coordinated transport robot system is reduced by a combination with a passive element such as a spring, a damper, or a slider as much as possible. A specific example of the position error absorption mechanism 10 a or 10 b that is used in the coordinated transport robot system of this embodiment and is fixed onto the robots 5 a or 5 b is shown in FIGS. 2A through 2D. FIG. 2A is a top view of the position error absorption mechanism 10. FIG. 2B is a cross-sectional view taken along the section line A-A defined in FIG. 2A. FIG. 2C is a cross-sectional view taken along the section line B-B defined in FIG. 2A. FIG. 2D is a cross-sectional view taken along the section line C-C defined in FIG. 2B.
  • The position error absorption mechanism 10 of this specific example is designed so that a passive element performs a horizontal and spherical rotating operation, and an active element performs a translational moving operation through driving of a motor. In this position error absorption mechanism 10, a top panel 101 onto which the transport object 30 is to be placed or fixed is placed at the top. This top panel 101 is supported by a member 130 that is located below the top panel 101 and is capable of moving in the depth direction (the X-axis direction). A concavity is formed at the center portion of the bottom surface of the top panel 101 or the surface opposite from the surface onto which the transport object 30 is to be placed or fixed, and a bearing 102 is placed in the concavity. The member 130 has a boss 130 a at its center portion. The inner ring of the bearing 102 is engaged with the boss 130 a, and the outer ring of the bearing 102 is engaged with the top panel 101. That is, the top panel 101 is rotatable about the axis of the bearing 102 with respect to the member 130. The boss 130 a may be fixed to the member 130 with a bolt or the like. A gear 120 is provided on the bottom surface side of the top panel 101 so as to rotate in synchronization with the top panel 101. This gear 120 is fixed to the top panel 101 with a bolt, and has a hole at the center portion, so that the boss 130 a of the member 130 penetrates through the hole. In this specific example, six concave portions are formed in the bottom surface of the top panel 101 so as to reduce the weight of the top panel 101.
  • A member 140 that secures and supports motors 104 and 106 is provided below the member 130. A pinion 105 a is attached to the end of the rotational shaft of the motor 104, and a rack 105 b engaged with the pinion 105 a is fixed to the member 130 with a bolt. The pinion 105 a and the rack 105 b constitute a rack/pinion mechanism 105. The member 130 becomes movable in the X-axis direction with respect to the member 140 by virtue of the motor 104 and the rack/pinion mechanism 105. The movement in the X-axis direction is movement along a linear guide 103 that is provided between the member 130 and the member 140.
  • In the position error absorption mechanism 10 of this specific example, a displacement transmitting gear 112 that meshes with the gear 120 is provided to detect the rotational position (the rotation quantity) of the top panel 101, and the central shaft of the gear 134 is attached to the member 130 via a bearing. A potentiometer 113 is provided at the end of the central shaft of the displacement transmitting gear 112.
  • A pinion 108 a is attached to the end of the rotational shaft of the motor 106 fixed to the member 130, and a rack 108 b engaged with the pinion 108 a is fixed to a member 150 with a bolt. The member 150 is provided below the member 140. The pinion 108 a and the rack 108 b constitute a rack/pinion mechanism 108. By virtue of the motor 106 and the rack/pinion mechanism 108, the member 150 becomes movable in the horizontal direction (the Y-axis direction) in FIG. 2B with respect to the member 140. The movement in the Y-axis direction is movement along a linear guide 107 that is provided between the member 140 and the member 150.
  • Two gonio-stages 109 and two gonio-stages 110 are provided below the member 150. As shown in FIG. 3, the two gonio-stages 109 are located in positions that face each other, with the center of the top panel 101 being in the middle. The two gonio-stages 110 are arranged in a direction perpendicular to the direction in which the two gonio-stages 109 are arranged, and are located in positions that face each other, with the center of the top panel 101 being in the middle. As shown in FIGS. 2B and 3, the two gonio-stages 109 are engaged with a member 160 that is fixed to the member 150 with a bolt, for example, and has a U-shaped cross-section. As shown in FIG. 3, the gonio-stages 110 are engaged with a member 170 that is fixed to the gonio-stages 109.
  • As shown in FIGS. 4A through 4C, the gonio- stages 109 and 110 are passive elements that can rotationally move objects in arcs with the same curvature. The gonio-stages 109 cause the member 160 to rotationally move in an arc about a first rotational axis (an axis parallel to the X-axis) provided above the gonio-stages 109, and the gonio-stages 110 cause the member 170 to rotationally move in an arc about a second rotational axis (an axis parallel to the Y-axis) provided above the gonio-stages 110. The first rotational axis and the second rotational axis intersect at a point 111. With this arrangement, the top panel 101 can be driven while isotropy is maintained with respect to external forces in every direction in the horizontal plane. Displacement measuring sensors (such as potentiometers) 114 and 115 are further mounted on the gonio- stages 109 and 110 so as to measure amounts of displacement from the initial positions.
  • Referring now to the control block diagram shown in FIG. 5, a control operation of the coordinated transport robot system of this embodiment is described. In the description below, of the two robots 5 a and 5 b shown in FIG. 1, one robot, which is the robot 5 a, for example, will be also referred to as the master robot, and the other robot 5 b will be also referred to as the slave robot. The slave robot 5 b includes a control unit 60 shown in FIG. 5, and the master robot 5 a includes a control unit 80. Alternatively, the master robot 5 a may include the control unit 60. In the description below, the master robot 5 a includes the control unit 60.
  • The control unit 80 includes a movement command generating unit 82, a movement control unit 83, and an odometry calculating unit 84.
  • The control unit 60 includes a passive element displacement sensing unit 61, an impedance model 62, an external force estimating unit 63, a compliance model 65, a mutual sensing unit 66, a mutual distance evaluating unit 67, a movement command calculating unit 68, an adding unit 69, a movement control unit 70, an odometry calculating unit 71, an estimating/interpolating unit 72, and an other's movement control responsiveness model 73. The functions of the respective components of the control unit 60 and the control unit 80 will be described below along with explanation of the control operation.
  • A case where the master robot 5 a and the slave robot 5 b perform a coordinated transport of the transport object 30 such as a long and heavy object shown in FIG. 1 is now described. In this case, the transport object 30 is placed and fixed onto the top panel of the position error absorption mechanism 10 a fixed onto the master robot 5 a, and the top panel of the position error absorption mechanism 10 b fixed onto the slave robot 5 b.
  • First, a command is sent from the operator of the coordinated transport robot system to the movement command generating unit 82 of the master robot 5 a. In accordance with the command, a movement command for moving the master robot 5 a is sent from the movement command generating unit 82 to the movement control unit 83, and the movement control unit 83 drives and controls the mobile unit 6 a (see FIG. 1) of the master robot 5 a, so that the master robot 5 a moves. The movement command generating unit 82 may store a preprogrammed command, and generate a movement command based on the stored command. In this case, there is no need to receive a command from the operator.
  • As the master robot 5 a moves in the above manner, the slave robot 5 b also moves via the transport object 30, and a coordinated transport is performed.
  • If a position error occurs while a coordinated transport is being performed, in the each position error absorption mechanisms 10, displacement occurs in the passive element with the highest responsiveness in the position error absorption mechanisms 10. The amount of the displacement is measured by the passive element displacement sensing unit 61. In accordance with the measured amount of the displacement, the external force acting on the robot including the passive element having the displacement is estimated by the external force estimating unit 63 using the virtual impedance model 62. The impedance model 62 is a model that assumes virtual inertia, viscosity, and elasticity, and estimates the force Δfi acting on the robot including the passive element having displacement based on the amount of the displacement. This impedance model is expressed by the following equation.

  • Δf i =M i d 2 x/dt 2 +D i dx/dt+K i dx/dt
  • Here, x represents the amount of displacement, dx/dt is the time subtraction of x, and d2x/dt2 is the time subtraction of dx/dt. Mi, Di and Ki are impedance model parameters (hereinafter also referred to as the parameters) indicating the virtual inertia, the virtual viscosity, and the virtual elasticity of the impedance model, respectively.
  • The above mentioned parameters strongly depend on the dynamic characteristics of the passive element in the position error absorption mechanism 10 of the robot. Accordingly, the responsiveness to an external force can be estimated beforehand from the time-series variation (time response) of the displacement of the passive element with respect to a known external force. The impedance parameters that conform to the responsiveness to the external force are identified in the frequency domain, and the identified parameters are stored beforehand as a database.
  • Meanwhile, in the active element unit in each of the position error absorption mechanisms 10, an external force is also estimated by the external force estimating unit 63 based on the value of the current applied to the motors 104 and 106 shown in FIG. 2A. The difference between the value of the current in a steady state where any external force is not applied and the value of the current in a state where an external force is applied is multiplied by a torque constant, to estimate a force Δfm. Based on the external force Δfi estimated with the use of the impedance model 62 and the force Δfm, the external force estimating unit 63 estimates the external force Δf acting on the entire robot by taking into account the coordinate transform due to the link structure of the robot.
  • The position correction amount of the entire robot is calculated with the virtual compliance model 65 so that the external force Δf being applied becomes 0 in the compliance model 65. This compliance model 65 is a concept equivalent to the reciprocal of the impedance model 62, and is expressed by the following equation.

  • Δx=(Δf i −M c d 2 Δx/dt 2 −D c dΔx/dt)/K c
  • Here, Δx represents the position correction amount, dΔx/dt is the time subtraction of Δx, and d2Δx/dt2 is the time subtraction of dΔx/dt. Mc, Dc and Kc are compliance model parameters (hereinafter also referred to as the parameters) indicating the virtual inertia, the virtual viscosity, and the virtual elasticity of the compliance model 65, respectively.
  • The above parameters can be estimated beforehand as the responsiveness to an external force, like the impedance model parameters. Further, a signal for identification is input to the active element unit, and the time response inclusive of the dynamic characteristics of the transport object 30 placed on the robot can be measured from the time-series variation in the amount of displacement at that time. In this manner, the compliance model parameters for compensating an estimated error in the dynamic characteristics of the object placed on the robot can be estimated online during a transfer operation.
  • Based on the calculated position correction amount, the movement command calculating unit 68 calculates a robot movement command. At this point, the robots 5 a and 5 b mutually sense the distance and the direction between the robots 5 a and 5 b by using a sensor such as the mutual sensing unit (such as a laser range finder (LRF)) 66, and calculates such a movement command as to maintain the distance and the direction. Based on the movement command, the movement control unit 70 controls the robots 5 a and 5 b. At this point, the robot calculates the value of a command to an actuator such as a motor in accordance with dynamics based on the form of the mobile units such as independent-two-wheel carts, omnidirectional moving carts, or legs.
  • In a case where the mutual distance between the robots 5 a and 5 b cannot be measured by a sensor, on the other hand, each of the robots 5 a and 5 b needs to estimate a self-location from the time-series data of command values stored therein. In this case, the odometry calculating unit 71 provided in the robot estimates the self-location (odometry) of the robot by using an integral of the movement command, the positional information from the movement control unit 70, and the value of a current feedback. In this manner, the degree of deviation (the position deviation) from a target orbit is estimated by the mutual distance evaluating unit 67, and an amount of correction is added to the movement command.
  • Further, a movement command may be communicated between the robots 5 a and 5 b. In this case, the master robot 5 a receives a movement command or a self-location from the slave robot 5 b, and the estimating/interpolating unit 72 takes into account the time lag or missing in the communication. At this point, a prediction is performed by a shaping or estimating process using a filter, as appropriate. In accordance with the estimated movement command to the slave robot 5 b, the mutual distance from the slave robot 5 b is evaluated, and a movement command to the master robot 5 a is generated.
  • An actual response to a command value is slow, which is true not only in robots. FIGS. 6A and 6B are waveform charts showing the values of velocity commands (indicated by dashed lines) to the motor that drives the respective wheels of the mobile carts, and the values of actual velocities (indicated by solid lines). FIG. 6A is a waveform chart showing a case where the motor changes from a positive angular velocity to a negative angular velocity. FIG. 6B is a waveform chart showing a case where the motor changes from a negative angular velocity to a positive angular velocity. As can be seen from FIGS. 6A and 6B, there are following lags. In reality, there are even longer lags due to friction against the road surface or the inertia of the load.
  • The time lags are turned into a model and are taken into account in a correction amount calculation so that a further increase in accuracy can be expected in estimating a position error. The value of the response to the value of the movement command in the robot is stored as a self-movement control responsiveness model 74 in a database. The self-movement control responsiveness model 74 of the robot prepares a movement command value for identification in advance, and performs a test operation, with the transport object 30 being placed on the robot. At this point, the value of the movement command for identification is input, and the response signal to the movement command value is measured. In this manner, the self-movement control responsiveness model 74 that takes into account the dynamic characteristics of the transport object 30 can be identified.
  • Also, the time-series data of movement command values acquired through communications with the other robot and the time-series data of the self-location are stored as the other's movement control responsiveness model 73 in a database. A simple example of the responsiveness model used herein may be a first-order lag model expressed by the following equation.

  • y(t)=1−exp(−x(t)/T)
  • Here, x(t) represents the time-series data of movement command values, y(t) represents the time-series data of actual velocities, and T represents the time constant. The time constant T is identified from a measured value of a command and an actual value, and is then stored in the database. Alternatively, a second-order model may be assumed, as in the impedance model or the compliance model. The second-order model G expressed in a transfer function form using a variable s in a Laplace domain is as follows.

  • G=1/(Ms 2 +Ds+K)
  • Here, M, D, and K are parameters of a second-order response model.
  • The calculations for identifying the self-movement control responsiveness model 74 and the other's movement control responsiveness model 73 are not necessarily performed by a computer mounted on the robot. The time-series data of movement command values and response signals are transmitted to an external computer through communications, and the calculations for identification are performed in the external computer. The parameters obtained as a result of the calculations are transmitted to the robot, and are used in the responsiveness models 74 and 73.
  • As described so far, according to this embodiment, coordinated transports of long and heavy objects can be performed.
  • While certain embodiments have been described, these embodiments have been presented by way of example only, and are not intended to limit the scope of the inventions. Indeed, the novel methods and systems described herein may be embodied in a variety of other forms; furthermore, various omissions, substitutions and changes in the form of the methods and systems described herein may be made without departing from the spirit of the inventions. The accompanying claims and their equivalents are intended to cover such forms or modifications as would fall within the scope and spirit of the inventions.

Claims (6)

1. A coordinated transport robot system, comprising:
first and second robots each including a mobile unit and a movement control unit configured to control the mobile unit;
first and second position error absorption mechanisms provided on the first and second robots, respectively, each of the first and second position error absorption mechanisms including a top panel onto which a transport object to be placed and fixed, a passive element unit configured to rotationally move the top panel in a horizontal direction and detect an amount of displacement of rotational movement, and an active element unit configured to translationally move the top panel in the horizontal direction and detect an amount of displacement of translational movement;
an impedance model configured to estimate an external force from the amount of displacement detected by the passive element unit;
an external force estimating unit configured to estimate respective external forces acting on the first and second robots based on an external force estimated with a dynamics model based on the amount of displacement detected by the active element unit, and an external force estimated by the impedance model;
a compliance model configured to calculate respective position correction amounts of the first and second robots to make an external force zero, the external force being estimated by the external force estimating unit; and
a movement command calculating unit configured to calculate movement commands to the first and second robots based on the position correction amounts calculated by the compliance model;
wherein the movement control units of the first and second robots control the respective mobile units based on the respective movement commands calculated by the movement command calculating unit.
2. The system according to claim 1, further comprising:
a mutual sensing unit measuring a distance and a direction between the first and second robots;
an odometry calculating unit estimating and calculating a self-location based on values of integrals of movement control amounts of the first and second robots and position information from the mobile control units; and
a mutual distance evaluating unit estimating a mutual distance between the first and second robots based on the self-location calculated by the odometry calculating unit and the distance and the direction between the first and second robots calculated by the mutual sensing unit,
wherein the movement command calculating unit calculates the movement commands to the first and second robots based on the position correction amounts and the mutual distance estimated by the mutual distance evaluating unit.
3. The system according to claim 1, further comprising:
a movement control responsiveness model configured to approximate responsiveness from the movement commands and actual movement amounts of the first and second robots,
wherein the movement command calculating unit corrects the movement commands by using the predicted values of movement amounts calculated by the movement control responsiveness model.
4. The system according to claim 1, wherein
the movement control responsiveness model is a self-movement control responsiveness model of the first and second robots, and
the self-movement control responsiveness model is obtained by measuring a response signal generated when the transport object is placed on the robot system and a movement command value for identification is given to one of the first and second robots.
5. The system according to claim 1, wherein,
the movement control responsiveness model is an other's movement control responsiveness model of the other robot as opposed to one robot of the first and second robots, and
the other's movement control responsiveness model is obtained from time-series data of a movement command value for the other robot and a self-location of the one robot.
6. The system according to claim 1, wherein each of the position error absorption mechanisms includes:
a first member provided below the top panel;
a first rotation mechanism enabling the first member to rotate with respect to the top panel about a center of the top panel;
a second member provided below the first member;
a third member provided below the second member;
a first translational movement mechanism causing the first member to translationally move with respect to the second member in a first direction in the horizontal direction;
a second translational movement mechanism causing the third member to translationally move with respect to the second member in a second direction perpendicular to the first direction in the horizontal direction;
a fourth member fixed to the third member;
a first pair of gonio-stages causing the fourth member to rotate in an arc about a first rotational axis located thereabove, the first pair of gonio-stages being engaged with the fourth member and facing each other;
a fifth member fixed to the first pair of gonio-stages; and
a second pair of gonio-stages causing the fifth member to rotate in an arc about a second rotational axis that is provided thereabove and intersects the first rotational axis at one point, the second pair of gonio-stages being provided on the robot having the position error absorption mechanism, the second pair of gonio-stages being engaged with the fifth member and facing each other in a direction perpendicular to a direction in which the first pair of gonio-stages are arranged.
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Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9315367B2 (en) * 2013-11-20 2016-04-19 Kabushiki Kaisha Toshiba Coordinated transport robot system
US20160259341A1 (en) * 2015-03-06 2016-09-08 Wal-Mart Stores, Inc. Systems, devices, and methods for providing passenger transport
WO2016192857A3 (en) * 2015-06-05 2017-01-26 Thomas Buck Robot-assisted transport of a mobile object
CN106957036A (en) * 2017-03-31 2017-07-18 中国核工业二三建设有限公司 Nuclear power station module turning device
US9878448B2 (en) * 2015-11-02 2018-01-30 Daegu Gyeongbuk Institute Of Science And Technology Omnidirectional moving robot device, and system and method for object conveyance using the same
US10017322B2 (en) 2016-04-01 2018-07-10 Wal-Mart Stores, Inc. Systems and methods for moving pallets via unmanned motorized unit-guided forklifts
CN109129389A (en) * 2017-06-27 2019-01-04 京东方科技集团股份有限公司 A kind of robot and its joining method, robot splicing system
US10346794B2 (en) 2015-03-06 2019-07-09 Walmart Apollo, Llc Item monitoring system and method
CN112394732A (en) * 2020-11-20 2021-02-23 西北工业大学 Contact force dynamic distribution method suitable for robot cluster cooperative transportation
US11046562B2 (en) 2015-03-06 2021-06-29 Walmart Apollo, Llc Shopping facility assistance systems, devices and methods
CN113247139A (en) * 2021-04-21 2021-08-13 中国化学工程第三建设有限公司 Ultra-large assembled modular block conveyer
WO2022069181A1 (en) 2020-10-01 2022-04-07 Volkswagen Aktiengesellschaft Modular robot system for transporting an object and method for transporting an object
CN114310926A (en) * 2021-11-29 2022-04-12 中建八局第一建设有限公司 Roof unwrapping wire robot
US11401110B2 (en) * 2018-06-06 2022-08-02 Beijing Geekplus Technology Co. Ltd Mobile robot
US11577143B1 (en) * 2018-01-17 2023-02-14 AI Incorporated Tennis playing robotic device
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US11762389B2 (en) 2018-09-10 2023-09-19 Nec Corporation Transport system, transport robot, control apparatus, control method, and program
US12045044B2 (en) 2018-07-27 2024-07-23 Nec Corporation Transport robot, transport system, and transport method

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
NO2966067T3 (en) * 2013-08-12 2018-03-24
JP5890488B1 (en) * 2014-08-05 2016-03-22 ファナック株式会社 Robot control device that works by pressing the tool against the workpiece
CN107965633B (en) * 2017-11-21 2019-06-25 中广核检测技术有限公司 Automatic testing system inside nuclear electric moment deformation cross section pipe
JP2021105751A (en) * 2018-04-03 2021-07-26 ソニーグループ株式会社 Control device, control method, and program
US10472095B1 (en) * 2018-09-07 2019-11-12 The Boeing Company Mobile fixture apparatuses and methods
US20220050465A1 (en) * 2018-09-10 2022-02-17 Nec Corporation Transport system, transport robot, control apparatus, control method, and program
WO2020054610A1 (en) * 2018-09-10 2020-03-19 日本電産シンポ株式会社 Conveyance system
JPWO2021065285A1 (en) * 2019-09-30 2021-04-08

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5019762A (en) * 1989-06-05 1991-05-28 Mitsubishi Denki Kabushiki Kaisha Industrial robot apparatus
US20070140821A1 (en) * 2005-12-19 2007-06-21 Betzalel Robotics, Llc Autonomous load/unload robot
US20110166703A1 (en) * 2003-12-22 2011-07-07 Abb As Control method device and system for robot applications
US20110255663A1 (en) * 2010-04-14 2011-10-20 Deming Systems, Llc Robotic Sensor
US20130245823A1 (en) * 2012-03-19 2013-09-19 Kabushiki Kaisha Yaskawa Denki Robot system, robot hand, and robot system operating method
US20140303814A1 (en) * 2013-03-24 2014-10-09 Bee Robotics Corporation Aerial farm robot system for crop dusting, planting, fertilizing and other field jobs

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000042958A (en) * 1998-07-24 2000-02-15 Fuji Electric Co Ltd Coordination conveying system by moving robot
JP2006070928A (en) 2004-08-31 2006-03-16 Nikon Corp Control method and exposure method for vibration control device
JP2006181674A (en) 2004-12-27 2006-07-13 Honda Motor Co Ltd Method for assembling sheet member
JP4877520B2 (en) 2007-06-26 2012-02-15 株式会社Ihi Conveying robot, operation control method thereof, and cooperative conveying system and method
JP5588714B2 (en) * 2010-04-01 2014-09-10 株式会社ジー・イー・エヌ Conveyor cart system
JP6151159B2 (en) * 2013-11-20 2017-06-21 株式会社東芝 Cooperative transfer robot system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5019762A (en) * 1989-06-05 1991-05-28 Mitsubishi Denki Kabushiki Kaisha Industrial robot apparatus
US20110166703A1 (en) * 2003-12-22 2011-07-07 Abb As Control method device and system for robot applications
US20070140821A1 (en) * 2005-12-19 2007-06-21 Betzalel Robotics, Llc Autonomous load/unload robot
US20110255663A1 (en) * 2010-04-14 2011-10-20 Deming Systems, Llc Robotic Sensor
US20130245823A1 (en) * 2012-03-19 2013-09-19 Kabushiki Kaisha Yaskawa Denki Robot system, robot hand, and robot system operating method
US20140303814A1 (en) * 2013-03-24 2014-10-09 Bee Robotics Corporation Aerial farm robot system for crop dusting, planting, fertilizing and other field jobs

Cited By (62)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9315367B2 (en) * 2013-11-20 2016-04-19 Kabushiki Kaisha Toshiba Coordinated transport robot system
US10351399B2 (en) 2015-03-06 2019-07-16 Walmart Apollo, Llc Systems, devices and methods of controlling motorized transport units in fulfilling product orders
US9896315B2 (en) 2015-03-06 2018-02-20 Wal-Mart Stores, Inc. Systems, devices and methods of controlling motorized transport units in fulfilling product orders
US10358326B2 (en) 2015-03-06 2019-07-23 Walmart Apollo, Llc Shopping facility assistance systems, devices and methods
US9801517B2 (en) 2015-03-06 2017-10-31 Wal-Mart Stores, Inc. Shopping facility assistance object detection systems, devices and methods
US9875502B2 (en) 2015-03-06 2018-01-23 Wal-Mart Stores, Inc. Shopping facility assistance systems, devices, and methods to identify security and safety anomalies
US9875503B2 (en) 2015-03-06 2018-01-23 Wal-Mart Stores, Inc. Method and apparatus for transporting a plurality of stacked motorized transport units
US11840814B2 (en) 2015-03-06 2023-12-12 Walmart Apollo, Llc Overriding control of motorized transport unit systems, devices and methods
US10351400B2 (en) 2015-03-06 2019-07-16 Walmart Apollo, Llc Apparatus and method of obtaining location information of a motorized transport unit
US9908760B2 (en) 2015-03-06 2018-03-06 Wal-Mart Stores, Inc. Shopping facility assistance systems, devices and methods to drive movable item containers
US9994434B2 (en) 2015-03-06 2018-06-12 Wal-Mart Stores, Inc. Overriding control of motorize transport unit systems, devices and methods
US11761160B2 (en) 2015-03-06 2023-09-19 Walmart Apollo, Llc Apparatus and method of monitoring product placement within a shopping facility
US10071892B2 (en) 2015-03-06 2018-09-11 Walmart Apollo, Llc Apparatus and method of obtaining location information of a motorized transport unit
US10071893B2 (en) 2015-03-06 2018-09-11 Walmart Apollo, Llc Shopping facility assistance system and method to retrieve in-store abandoned mobile item containers
US10071891B2 (en) * 2015-03-06 2018-09-11 Walmart Apollo, Llc Systems, devices, and methods for providing passenger transport
US10081525B2 (en) 2015-03-06 2018-09-25 Walmart Apollo, Llc Shopping facility assistance systems, devices and methods to address ground and weather conditions
US10130232B2 (en) 2015-03-06 2018-11-20 Walmart Apollo, Llc Shopping facility assistance systems, devices and methods
US10138100B2 (en) 2015-03-06 2018-11-27 Walmart Apollo, Llc Recharging apparatus and method
US11679969B2 (en) 2015-03-06 2023-06-20 Walmart Apollo, Llc Shopping facility assistance systems, devices and methods
US10189692B2 (en) 2015-03-06 2019-01-29 Walmart Apollo, Llc Systems, devices and methods for restoring shopping space conditions
US10189691B2 (en) 2015-03-06 2019-01-29 Walmart Apollo, Llc Shopping facility track system and method of routing motorized transport units
US11046562B2 (en) 2015-03-06 2021-06-29 Walmart Apollo, Llc Shopping facility assistance systems, devices and methods
US10239738B2 (en) 2015-03-06 2019-03-26 Walmart Apollo, Llc Apparatus and method of monitoring product placement within a shopping facility
US10239740B2 (en) 2015-03-06 2019-03-26 Walmart Apollo, Llc Shopping facility assistance system and method having a motorized transport unit that selectively leads or follows a user within a shopping facility
US10239739B2 (en) 2015-03-06 2019-03-26 Walmart Apollo, Llc Motorized transport unit worker support systems and methods
US10280054B2 (en) 2015-03-06 2019-05-07 Walmart Apollo, Llc Shopping facility assistance systems, devices and methods
US10287149B2 (en) 2015-03-06 2019-05-14 Walmart Apollo, Llc Assignment of a motorized personal assistance apparatus
US10315897B2 (en) 2015-03-06 2019-06-11 Walmart Apollo, Llc Systems, devices and methods for determining item availability in a shopping space
US10336592B2 (en) 2015-03-06 2019-07-02 Walmart Apollo, Llc Shopping facility assistance systems, devices, and methods to facilitate returning items to their respective departments
US10346794B2 (en) 2015-03-06 2019-07-09 Walmart Apollo, Llc Item monitoring system and method
US20160259341A1 (en) * 2015-03-06 2016-09-08 Wal-Mart Stores, Inc. Systems, devices, and methods for providing passenger transport
US10435279B2 (en) 2015-03-06 2019-10-08 Walmart Apollo, Llc Shopping space route guidance systems, devices and methods
US11034563B2 (en) 2015-03-06 2021-06-15 Walmart Apollo, Llc Apparatus and method of monitoring product placement within a shopping facility
US10875752B2 (en) 2015-03-06 2020-12-29 Walmart Apollo, Llc Systems, devices and methods of providing customer support in locating products
US10486951B2 (en) 2015-03-06 2019-11-26 Walmart Apollo, Llc Trash can monitoring systems and methods
US10508010B2 (en) 2015-03-06 2019-12-17 Walmart Apollo, Llc Shopping facility discarded item sorting systems, devices and methods
US10815104B2 (en) 2015-03-06 2020-10-27 Walmart Apollo, Llc Recharging apparatus and method
US10570000B2 (en) 2015-03-06 2020-02-25 Walmart Apollo, Llc Shopping facility assistance object detection systems, devices and methods
US10597270B2 (en) 2015-03-06 2020-03-24 Walmart Apollo, Llc Shopping facility track system and method of routing motorized transport units
US10611614B2 (en) 2015-03-06 2020-04-07 Walmart Apollo, Llc Shopping facility assistance systems, devices and methods to drive movable item containers
US10633231B2 (en) 2015-03-06 2020-04-28 Walmart Apollo, Llc Apparatus and method of monitoring product placement within a shopping facility
US10669140B2 (en) 2015-03-06 2020-06-02 Walmart Apollo, Llc Shopping facility assistance systems, devices and methods to detect and handle incorrectly placed items
WO2016192857A3 (en) * 2015-06-05 2017-01-26 Thomas Buck Robot-assisted transport of a mobile object
US9878448B2 (en) * 2015-11-02 2018-01-30 Daegu Gyeongbuk Institute Of Science And Technology Omnidirectional moving robot device, and system and method for object conveyance using the same
US10017322B2 (en) 2016-04-01 2018-07-10 Wal-Mart Stores, Inc. Systems and methods for moving pallets via unmanned motorized unit-guided forklifts
US10214400B2 (en) 2016-04-01 2019-02-26 Walmart Apollo, Llc Systems and methods for moving pallets via unmanned motorized unit-guided forklifts
CN106957036A (en) * 2017-03-31 2017-07-18 中国核工业二三建设有限公司 Nuclear power station module turning device
CN109129389A (en) * 2017-06-27 2019-01-04 京东方科技集团股份有限公司 A kind of robot and its joining method, robot splicing system
US20190382250A1 (en) * 2017-06-27 2019-12-19 Boe Technology Group Co., Ltd. Robot and splicing method thereof, and robot splicing system
US10947095B2 (en) * 2017-06-27 2021-03-16 Boe Technology Group Co., Ltd. Robot and splicing method thereof, and robot splicing system
US11577143B1 (en) * 2018-01-17 2023-02-14 AI Incorporated Tennis playing robotic device
US11401110B2 (en) * 2018-06-06 2022-08-02 Beijing Geekplus Technology Co. Ltd Mobile robot
US12045044B2 (en) 2018-07-27 2024-07-23 Nec Corporation Transport robot, transport system, and transport method
US11762389B2 (en) 2018-09-10 2023-09-19 Nec Corporation Transport system, transport robot, control apparatus, control method, and program
WO2022069181A1 (en) 2020-10-01 2022-04-07 Volkswagen Aktiengesellschaft Modular robot system for transporting an object and method for transporting an object
DE102020212464A1 (en) 2020-10-01 2022-04-07 Volkswagen Aktiengesellschaft Modular robot system for transporting an object and method for transporting an object
CN112394732A (en) * 2020-11-20 2021-02-23 西北工业大学 Contact force dynamic distribution method suitable for robot cluster cooperative transportation
CN113247139A (en) * 2021-04-21 2021-08-13 中国化学工程第三建设有限公司 Ultra-large assembled modular block conveyer
CN114310926A (en) * 2021-11-29 2022-04-12 中建八局第一建设有限公司 Roof unwrapping wire robot
DE102022002372B3 (en) 2022-06-30 2023-03-16 Sew-Eurodrive Gmbh & Co Kg Method of transporting an object
DE102023002388A1 (en) 2022-06-30 2024-01-04 Sew-Eurodrive Gmbh & Co Kg Method for transporting an object
WO2024002670A1 (en) 2022-06-30 2024-01-04 Sew-Eurodrive Gmbh & Co. Kg Method for transporting an object

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